Hyperspectral Image Classification Based on Convolutional Neural Networks with Adaptive Network Structure

Chen Ding, Wei Li, Lei Zhang, Chunna Tian, Wei Wei, Yanning Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


Hyperspectral image (HSI) contains various spectral and spatial information, which is often used in remote sensing image analysis and widely used in areas of the people's daily life. Due to the advances of powerful feature representations, deep learning based methods are receiving increasing attention and getting acceptable classification results. As a representative of the deep learning methods, convolutional neural networks (CNNs) have shown their great ability in HSI classification tasks. However, the hyper-parameters of CNNs based HSI classification methods are often obtained through experience (e.g., the number of convolutional layers), and how to determine the number of convolutional layers (the model of convolutional layers connection) via data is seldom studied in existing CNNs based HSI classification methods. To deal with this problem, this paper proposes an effective approach to learn a structure of CNNs (e.g., a data-determined layers number of CNNs) in HSI classification tasks, where the CNNs structure can be learned via genetic algorithm (GA). with the learned adaptive CNNs structure can aquire better HSI classification result. Experimental results on two datasets demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2018 International Conference on Orange Technologies, ICOT 2018
EditorsAbba Suganda Girsang, Emil R. Kaburuan
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538673195
Publication statusPublished - 2 Jul 2018
Externally publishedYes
Event6th International Conference on Orange Technologies, ICOT 2018 - Bali, Indonesia
Duration: 23 Oct 201826 Oct 2018

Publication series

Name2018 International Conference on Orange Technologies, ICOT 2018


Conference6th International Conference on Orange Technologies, ICOT 2018


  • adaptive CNNs structure
  • Convolutional neural networks
  • hyper-parameter
  • hyperspectral image classification
  • the number of convolutional layers

ASJC Scopus subject areas

  • Computer Networks and Communications

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